YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
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Updated
Oct 5, 2024 - Python
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Ultralytics YOLO11 🚀
OpenMMLab Detection Toolbox and Benchmark
We write your reusable computer vision tools. 💜
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
Label Studio is a multi-type data labeling and annotation tool with standardized output format
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
Single Shot MultiBox Detector in TensorFlow
Effortless data labeling with AI support from Segment Anything and other awesome models.
DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.
A PyTorch implementation of the YOLO v3 object detection algorithm
🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
YoloV3 Implemented in Tensorflow 2.0
🔥🔥🔥 专注于YOLOv5,YOLOv7、YOLOv8、YOLOv9改进模型,Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀
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